{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "import requests\n",
    "import time\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>locationId</th>\n",
       "      <th>continentName</th>\n",
       "      <th>continentEnglishName</th>\n",
       "      <th>countryName</th>\n",
       "      <th>countryEnglishName</th>\n",
       "      <th>countryFullName</th>\n",
       "      <th>provinceName</th>\n",
       "      <th>provinceEnglishName</th>\n",
       "      <th>provinceShortName</th>\n",
       "      <th>currentConfirmedCount</th>\n",
       "      <th>confirmedCount</th>\n",
       "      <th>suspectedCount</th>\n",
       "      <th>curedCount</th>\n",
       "      <th>deadCount</th>\n",
       "      <th>comment</th>\n",
       "      <th>cities</th>\n",
       "      <th>updateTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>955009</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>以色列</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Israel</td>\n",
       "      <td>以色列</td>\n",
       "      <td>Israel</td>\n",
       "      <td>以色列</td>\n",
       "      <td>2654</td>\n",
       "      <td>18089</td>\n",
       "      <td>0</td>\n",
       "      <td>15137</td>\n",
       "      <td>298</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>1591693312295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>952009</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>新加坡</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>新加坡</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>新加坡</td>\n",
       "      <td>13930</td>\n",
       "      <td>38514</td>\n",
       "      <td>0</td>\n",
       "      <td>24559</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>1591693312295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>973002</td>\n",
       "      <td>南美洲</td>\n",
       "      <td>South America</td>\n",
       "      <td>玻利维亚</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>Bolivia (Plurinational State of)</td>\n",
       "      <td>玻利维亚</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>玻利维亚</td>\n",
       "      <td>12745</td>\n",
       "      <td>13358</td>\n",
       "      <td>0</td>\n",
       "      <td>159</td>\n",
       "      <td>454</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>1591693312295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>983001</td>\n",
       "      <td>非洲</td>\n",
       "      <td>Africa</td>\n",
       "      <td>喀麦隆</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>喀麦隆</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>喀麦隆</td>\n",
       "      <td>5649</td>\n",
       "      <td>7860</td>\n",
       "      <td>0</td>\n",
       "      <td>1996</td>\n",
       "      <td>215</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>1591693312295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>955002</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>亚美尼亚</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>亚美尼亚</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>亚美尼亚</td>\n",
       "      <td>9007</td>\n",
       "      <td>13675</td>\n",
       "      <td>0</td>\n",
       "      <td>4451</td>\n",
       "      <td>217</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>1591693312295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>955008</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>伊拉克</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>伊拉克</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>伊拉克</td>\n",
       "      <td>7539</td>\n",
       "      <td>13481</td>\n",
       "      <td>0</td>\n",
       "      <td>5572</td>\n",
       "      <td>370</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>1591693312295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>964001</td>\n",
       "      <td>欧洲</td>\n",
       "      <td>Europe</td>\n",
       "      <td>白俄罗斯</td>\n",
       "      <td>Belarus</td>\n",
       "      <td>Belarus</td>\n",
       "      <td>白俄罗斯</td>\n",
       "      <td>Belarus</td>\n",
       "      <td>白俄罗斯</td>\n",
       "      <td>25297</td>\n",
       "      <td>49453</td>\n",
       "      <td>0</td>\n",
       "      <td>23880</td>\n",
       "      <td>276</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>1591692628619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>973003</td>\n",
       "      <td>南美洲</td>\n",
       "      <td>South America</td>\n",
       "      <td>巴西</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>巴西</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>巴西</td>\n",
       "      <td>347973</td>\n",
       "      <td>710887</td>\n",
       "      <td>0</td>\n",
       "      <td>325602</td>\n",
       "      <td>37312</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>1591692628619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>951004</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>韩国</td>\n",
       "      <td>Korea</td>\n",
       "      <td>Republic of Korea</td>\n",
       "      <td>韩国</td>\n",
       "      <td>Korea</td>\n",
       "      <td>韩国</td>\n",
       "      <td>989</td>\n",
       "      <td>11852</td>\n",
       "      <td>0</td>\n",
       "      <td>10589</td>\n",
       "      <td>274</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>1591692628619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>955011</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>科威特</td>\n",
       "      <td>Kuwait</td>\n",
       "      <td>Kuwait</td>\n",
       "      <td>科威特</td>\n",
       "      <td>Kuwait</td>\n",
       "      <td>科威特</td>\n",
       "      <td>10999</td>\n",
       "      <td>32510</td>\n",
       "      <td>0</td>\n",
       "      <td>21242</td>\n",
       "      <td>269</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>1591692628619</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   locationId continentName continentEnglishName countryName  \\\n",
       "0      955009            亚洲                 Asia         以色列   \n",
       "1      952009            亚洲                 Asia         新加坡   \n",
       "2      973002           南美洲        South America        玻利维亚   \n",
       "3      983001            非洲               Africa         喀麦隆   \n",
       "4      955002            亚洲                 Asia        亚美尼亚   \n",
       "5      955008            亚洲                 Asia         伊拉克   \n",
       "6      964001            欧洲               Europe        白俄罗斯   \n",
       "7      973003           南美洲        South America          巴西   \n",
       "8      951004            亚洲                 Asia          韩国   \n",
       "9      955011            亚洲                 Asia         科威特   \n",
       "\n",
       "  countryEnglishName                   countryFullName provinceName  \\\n",
       "0             Israel                            Israel          以色列   \n",
       "1          Singapore                         Singapore          新加坡   \n",
       "2            Bolivia  Bolivia (Plurinational State of)         玻利维亚   \n",
       "3           Cameroon                          Cameroon          喀麦隆   \n",
       "4            Armenia                           Armenia         亚美尼亚   \n",
       "5               Iraq                              Iraq          伊拉克   \n",
       "6            Belarus                           Belarus         白俄罗斯   \n",
       "7             Brazil                            Brazil           巴西   \n",
       "8              Korea                 Republic of Korea           韩国   \n",
       "9             Kuwait                            Kuwait          科威特   \n",
       "\n",
       "  provinceEnglishName provinceShortName  currentConfirmedCount  \\\n",
       "0              Israel               以色列                   2654   \n",
       "1           Singapore               新加坡                  13930   \n",
       "2             Bolivia              玻利维亚                  12745   \n",
       "3            Cameroon               喀麦隆                   5649   \n",
       "4             Armenia              亚美尼亚                   9007   \n",
       "5                Iraq               伊拉克                   7539   \n",
       "6             Belarus              白俄罗斯                  25297   \n",
       "7              Brazil                巴西                 347973   \n",
       "8               Korea                韩国                    989   \n",
       "9              Kuwait               科威特                  10999   \n",
       "\n",
       "   confirmedCount  suspectedCount  curedCount  deadCount comment cities  \\\n",
       "0           18089               0       15137        298           None   \n",
       "1           38514               0       24559         25           None   \n",
       "2           13358               0         159        454           None   \n",
       "3            7860               0        1996        215           None   \n",
       "4           13675               0        4451        217           None   \n",
       "5           13481               0        5572        370           None   \n",
       "6           49453               0       23880        276           None   \n",
       "7          710887               0      325602      37312           None   \n",
       "8           11852               0       10589        274           None   \n",
       "9           32510               0       21242        269           None   \n",
       "\n",
       "      updateTime  \n",
       "0  1591693312295  \n",
       "1  1591693312295  \n",
       "2  1591693312295  \n",
       "3  1591693312295  \n",
       "4  1591693312295  \n",
       "5  1591693312295  \n",
       "6  1591692628619  \n",
       "7  1591692628619  \n",
       "8  1591692628619  \n",
       "9  1591692628619  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result = requests.get('https://lab.isaaclin.cn/nCoV/api/area')\n",
    "data = result.json()\n",
    "df = pd.DataFrame.from_records(data['results'])\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>locationId</th>\n",
       "      <th>continentName</th>\n",
       "      <th>continentEnglishName</th>\n",
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       "      <th>curedCount</th>\n",
       "      <th>deadCount</th>\n",
       "      <th>comment</th>\n",
       "      <th>cities</th>\n",
       "      <th>updateTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>955009</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>以色列</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Israel</td>\n",
       "      <td>以色列</td>\n",
       "      <td>Israel</td>\n",
       "      <td>以色列</td>\n",
       "      <td>2654</td>\n",
       "      <td>18089</td>\n",
       "      <td>0</td>\n",
       "      <td>15137</td>\n",
       "      <td>298</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>952009</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>新加坡</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>新加坡</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>新加坡</td>\n",
       "      <td>13930</td>\n",
       "      <td>38514</td>\n",
       "      <td>0</td>\n",
       "      <td>24559</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>973002</td>\n",
       "      <td>南美洲</td>\n",
       "      <td>South America</td>\n",
       "      <td>玻利维亚</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>Bolivia (Plurinational State of)</td>\n",
       "      <td>玻利维亚</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>玻利维亚</td>\n",
       "      <td>12745</td>\n",
       "      <td>13358</td>\n",
       "      <td>0</td>\n",
       "      <td>159</td>\n",
       "      <td>454</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>983001</td>\n",
       "      <td>非洲</td>\n",
       "      <td>Africa</td>\n",
       "      <td>喀麦隆</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>喀麦隆</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>喀麦隆</td>\n",
       "      <td>5649</td>\n",
       "      <td>7860</td>\n",
       "      <td>0</td>\n",
       "      <td>1996</td>\n",
       "      <td>215</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>955002</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>亚美尼亚</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>亚美尼亚</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>亚美尼亚</td>\n",
       "      <td>9007</td>\n",
       "      <td>13675</td>\n",
       "      <td>0</td>\n",
       "      <td>4451</td>\n",
       "      <td>217</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-06</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>0</td>\n",
       "      <td>欧洲</td>\n",
       "      <td>Europe</td>\n",
       "      <td>大不列颠及北爱尔兰联合王国</td>\n",
       "      <td>United Kingdom of Great Britain and Ireland</td>\n",
       "      <td>None</td>\n",
       "      <td>大不列颠及北爱尔兰联合王国</td>\n",
       "      <td>United Kingdom of Great Britain and Ireland</td>\n",
       "      <td>大不列颠及北爱尔兰联合王国</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>0</td>\n",
       "      <td>欧洲</td>\n",
       "      <td>Europe</td>\n",
       "      <td>英国（含北爱尔兰）</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>None</td>\n",
       "      <td>英国（含北爱尔兰）</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>英国（含北爱尔兰）</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>0</td>\n",
       "      <td>欧洲</td>\n",
       "      <td>Europe</td>\n",
       "      <td>北爱尔兰</td>\n",
       "      <td>Northern Ireland</td>\n",
       "      <td>None</td>\n",
       "      <td>北爱尔兰</td>\n",
       "      <td>Northern Ireland</td>\n",
       "      <td>北爱尔兰</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>630000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>青海省</td>\n",
       "      <td>Qinghai</td>\n",
       "      <td>青海</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '西宁', 'currentConfirmedCount': 0...</td>\n",
       "      <td>2020-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>540000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>西藏自治区</td>\n",
       "      <td>Xizang</td>\n",
       "      <td>西藏</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '拉萨', 'currentConfirmedCount': 0...</td>\n",
       "      <td>2020-02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>257 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     locationId continentName continentEnglishName    countryName  \\\n",
       "0        955009            亚洲                 Asia            以色列   \n",
       "1        952009            亚洲                 Asia            新加坡   \n",
       "2        973002           南美洲        South America           玻利维亚   \n",
       "3        983001            非洲               Africa            喀麦隆   \n",
       "4        955002            亚洲                 Asia           亚美尼亚   \n",
       "..          ...           ...                  ...            ...   \n",
       "252           0            欧洲               Europe  大不列颠及北爱尔兰联合王国   \n",
       "253           0            欧洲               Europe      英国（含北爱尔兰）   \n",
       "254           0            欧洲               Europe           北爱尔兰   \n",
       "255      630000            亚洲                 Asia             中国   \n",
       "256      540000            亚洲                 Asia             中国   \n",
       "\n",
       "                              countryEnglishName  \\\n",
       "0                                         Israel   \n",
       "1                                      Singapore   \n",
       "2                                        Bolivia   \n",
       "3                                       Cameroon   \n",
       "4                                        Armenia   \n",
       "..                                           ...   \n",
       "252  United Kingdom of Great Britain and Ireland   \n",
       "253                               United Kingdom   \n",
       "254                             Northern Ireland   \n",
       "255                                        China   \n",
       "256                                        China   \n",
       "\n",
       "                      countryFullName   provinceName  \\\n",
       "0                              Israel            以色列   \n",
       "1                           Singapore            新加坡   \n",
       "2    Bolivia (Plurinational State of)           玻利维亚   \n",
       "3                            Cameroon            喀麦隆   \n",
       "4                             Armenia           亚美尼亚   \n",
       "..                                ...            ...   \n",
       "252                              None  大不列颠及北爱尔兰联合王国   \n",
       "253                              None      英国（含北爱尔兰）   \n",
       "254                              None           北爱尔兰   \n",
       "255                              None            青海省   \n",
       "256                              None          西藏自治区   \n",
       "\n",
       "                             provinceEnglishName provinceShortName  \\\n",
       "0                                         Israel               以色列   \n",
       "1                                      Singapore               新加坡   \n",
       "2                                        Bolivia              玻利维亚   \n",
       "3                                       Cameroon               喀麦隆   \n",
       "4                                        Armenia              亚美尼亚   \n",
       "..                                           ...               ...   \n",
       "252  United Kingdom of Great Britain and Ireland     大不列颠及北爱尔兰联合王国   \n",
       "253                               United Kingdom         英国（含北爱尔兰）   \n",
       "254                             Northern Ireland              北爱尔兰   \n",
       "255                                      Qinghai                青海   \n",
       "256                                       Xizang                西藏   \n",
       "\n",
       "     currentConfirmedCount  confirmedCount  suspectedCount  curedCount  \\\n",
       "0                     2654           18089               0       15137   \n",
       "1                    13930           38514               0       24559   \n",
       "2                    12745           13358               0         159   \n",
       "3                     5649            7860               0        1996   \n",
       "4                     9007           13675               0        4451   \n",
       "..                     ...             ...             ...         ...   \n",
       "252                     12              20               0           8   \n",
       "253                     12              20               0           8   \n",
       "254                      1               1               0           0   \n",
       "255                      0              18               0          18   \n",
       "256                      0               1               0           1   \n",
       "\n",
       "     deadCount comment                                             cities  \\\n",
       "0          298                                                       None   \n",
       "1           25                                                       None   \n",
       "2          454                                                       None   \n",
       "3          215                                                       None   \n",
       "4          217                                                       None   \n",
       "..         ...     ...                                                ...   \n",
       "252          0                                                       None   \n",
       "253          0                                                       None   \n",
       "254          0                                                       None   \n",
       "255          0          [{'cityName': '西宁', 'currentConfirmedCount': 0...   \n",
       "256          0          [{'cityName': '拉萨', 'currentConfirmedCount': 0...   \n",
       "\n",
       "    updateTime  \n",
       "0      2020-06  \n",
       "1      2020-06  \n",
       "2      2020-06  \n",
       "3      2020-06  \n",
       "4      2020-06  \n",
       "..         ...  \n",
       "252    2020-02  \n",
       "253    2020-02  \n",
       "254    2020-02  \n",
       "255    2020-02  \n",
       "256    2020-02  \n",
       "\n",
       "[257 rows x 17 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['updateTime'] = pd.to_datetime(df['updateTime'].values, unit='ms')\n",
    "df['updateTime'] = df['updateTime'].apply(lambda x:x.strftime('%Y-%m'))\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 257 entries, 0 to 256\n",
      "Data columns (total 17 columns):\n",
      " #   Column                 Non-Null Count  Dtype \n",
      "---  ------                 --------------  ----- \n",
      " 0   locationId             257 non-null    int64 \n",
      " 1   continentName          257 non-null    object\n",
      " 2   continentEnglishName   257 non-null    object\n",
      " 3   countryName            257 non-null    object\n",
      " 4   countryEnglishName     223 non-null    object\n",
      " 5   countryFullName        219 non-null    object\n",
      " 6   provinceName           257 non-null    object\n",
      " 7   provinceEnglishName    223 non-null    object\n",
      " 8   provinceShortName      257 non-null    object\n",
      " 9   currentConfirmedCount  257 non-null    int64 \n",
      " 10  confirmedCount         257 non-null    int64 \n",
      " 11  suspectedCount         257 non-null    int64 \n",
      " 12  curedCount             257 non-null    int64 \n",
      " 13  deadCount              257 non-null    int64 \n",
      " 14  comment                256 non-null    object\n",
      " 15  cities                 34 non-null     object\n",
      " 16  updateTime             257 non-null    object\n",
      "dtypes: int64(6), object(11)\n",
      "memory usage: 34.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 227 entries, 0 to 256\n",
      "Data columns (total 17 columns):\n",
      " #   Column                 Non-Null Count  Dtype \n",
      "---  ------                 --------------  ----- \n",
      " 0   locationId             227 non-null    int64 \n",
      " 1   continentName          227 non-null    object\n",
      " 2   continentEnglishName   227 non-null    object\n",
      " 3   countryName            227 non-null    object\n",
      " 4   countryEnglishName     193 non-null    object\n",
      " 5   countryFullName        218 non-null    object\n",
      " 6   provinceName           227 non-null    object\n",
      " 7   provinceEnglishName    193 non-null    object\n",
      " 8   provinceShortName      227 non-null    object\n",
      " 9   currentConfirmedCount  227 non-null    int64 \n",
      " 10  confirmedCount         227 non-null    int64 \n",
      " 11  suspectedCount         227 non-null    int64 \n",
      " 12  curedCount             227 non-null    int64 \n",
      " 13  deadCount              227 non-null    int64 \n",
      " 14  comment                227 non-null    object\n",
      " 15  cities                 5 non-null      object\n",
      " 16  updateTime             227 non-null    object\n",
      "dtypes: int64(6), object(11)\n",
      "memory usage: 31.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df1 = df.drop_duplicates(subset=['updateTime', 'countryName'], keep='last')\n",
    "df1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>locationId</th>\n",
       "      <th>currentConfirmedCount</th>\n",
       "      <th>confirmedCount</th>\n",
       "      <th>suspectedCount</th>\n",
       "      <th>curedCount</th>\n",
       "      <th>deadCount</th>\n",
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       "    <tr>\n",
       "      <th>continentName</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>亚洲</th>\n",
       "      <td>44160305</td>\n",
       "      <td>523818</td>\n",
       "      <td>1317420</td>\n",
       "      <td>397</td>\n",
       "      <td>762503</td>\n",
       "      <td>31099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>其他</th>\n",
       "      <td>0</td>\n",
       "      <td>146</td>\n",
       "      <td>733</td>\n",
       "      <td>0</td>\n",
       "      <td>574</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>北美洲</th>\n",
       "      <td>20431108</td>\n",
       "      <td>1426231</td>\n",
       "      <td>2241009</td>\n",
       "      <td>0</td>\n",
       "      <td>680336</td>\n",
       "      <td>134442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>南美洲</th>\n",
       "      <td>10703066</td>\n",
       "      <td>636177</td>\n",
       "      <td>1174023</td>\n",
       "      <td>0</td>\n",
       "      <td>486602</td>\n",
       "      <td>51244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>大洋洲</th>\n",
       "      <td>3960019</td>\n",
       "      <td>568</td>\n",
       "      <td>8752</td>\n",
       "      <td>4</td>\n",
       "      <td>8053</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>欧洲</th>\n",
       "      <td>41429266</td>\n",
       "      <td>835469</td>\n",
       "      <td>2069564</td>\n",
       "      <td>0</td>\n",
       "      <td>1054902</td>\n",
       "      <td>179193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>非洲</th>\n",
       "      <td>47184328</td>\n",
       "      <td>112116</td>\n",
       "      <td>198200</td>\n",
       "      <td>0</td>\n",
       "      <td>80701</td>\n",
       "      <td>5383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               locationId  currentConfirmedCount  confirmedCount  \\\n",
       "continentName                                                      \n",
       "亚洲               44160305                 523818         1317420   \n",
       "其他                      0                    146             733   \n",
       "北美洲              20431108                1426231         2241009   \n",
       "南美洲              10703066                 636177         1174023   \n",
       "大洋洲               3960019                    568            8752   \n",
       "欧洲               41429266                 835469         2069564   \n",
       "非洲               47184328                 112116          198200   \n",
       "\n",
       "               suspectedCount  curedCount  deadCount  \n",
       "continentName                                         \n",
       "亚洲                        397      762503      31099  \n",
       "其他                          0         574         13  \n",
       "北美洲                         0      680336     134442  \n",
       "南美洲                         0      486602      51244  \n",
       "大洋洲                         4        8053        131  \n",
       "欧洲                          0     1054902     179193  \n",
       "非洲                          0       80701       5383  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = df1.groupby(['continentName']).sum()\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = df2.drop('locationId', axis=1).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>continentName</th>\n",
       "      <th>currentConfirmedCount</th>\n",
       "      <th>confirmedCount</th>\n",
       "      <th>suspectedCount</th>\n",
       "      <th>curedCount</th>\n",
       "      <th>deadCount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>亚洲</td>\n",
       "      <td>523818</td>\n",
       "      <td>1317420</td>\n",
       "      <td>397</td>\n",
       "      <td>762503</td>\n",
       "      <td>31099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>其他</td>\n",
       "      <td>146</td>\n",
       "      <td>733</td>\n",
       "      <td>0</td>\n",
       "      <td>574</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>北美洲</td>\n",
       "      <td>1426231</td>\n",
       "      <td>2241009</td>\n",
       "      <td>0</td>\n",
       "      <td>680336</td>\n",
       "      <td>134442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>南美洲</td>\n",
       "      <td>636177</td>\n",
       "      <td>1174023</td>\n",
       "      <td>0</td>\n",
       "      <td>486602</td>\n",
       "      <td>51244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>大洋洲</td>\n",
       "      <td>568</td>\n",
       "      <td>8752</td>\n",
       "      <td>4</td>\n",
       "      <td>8053</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>欧洲</td>\n",
       "      <td>835469</td>\n",
       "      <td>2069564</td>\n",
       "      <td>0</td>\n",
       "      <td>1054902</td>\n",
       "      <td>179193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>非洲</td>\n",
       "      <td>112116</td>\n",
       "      <td>198200</td>\n",
       "      <td>0</td>\n",
       "      <td>80701</td>\n",
       "      <td>5383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  continentName  currentConfirmedCount  confirmedCount  suspectedCount  \\\n",
       "0            亚洲                 523818         1317420             397   \n",
       "1            其他                    146             733               0   \n",
       "2           北美洲                1426231         2241009               0   \n",
       "3           南美洲                 636177         1174023               0   \n",
       "4           大洋洲                    568            8752               4   \n",
       "5            欧洲                 835469         2069564               0   \n",
       "6            非洲                 112116          198200               0   \n",
       "\n",
       "   curedCount  deadCount  \n",
       "0      762503      31099  \n",
       "1         574         13  \n",
       "2      680336     134442  \n",
       "3      486602      51244  \n",
       "4        8053        131  \n",
       "5     1054902     179193  \n",
       "6       80701       5383  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f6db978d190>"
      ]
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     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.family\"]=\"AR PL UKai CN\" # 根据系统的字体来显示避免乱码\n",
    "sns.catplot(x=\"continentName\", y=\"confirmedCount\", kind=\"bar\", data=df3).set(title = '各洲确诊数量')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f6db8f71b50>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"continentName\", y=\"curedCount\", kind=\"bar\", data=df3).set(title = '各洲治愈数量')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f6dba109690>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAAFwCAYAAACGt6HXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAdsElEQVR4nO3de5RkZX3u8e/DDDokMXJxFFEHR4xilEt0iEDUEdA4QbxL1AgYlExcOcGTeLzEg0kwmgiSpTGapZIoqCSaoJNEETA5onhDBUU0KkQwykWDgxe8EAeB3/nj3b1smp6Zmpnqertmvp+1enXtd++q/avu2s9+6629d6WqkCRN3k69C5CkHZUBLEmdGMCS1IkBLEmdGMCS1IkBrKmQZGmSO/WuQxonA1jT4hHAe7f2zkmOTpJxFZPkeUl+N8nOIyz7qiR3HXYiq5M8ahPLPizJCUmOH9bx/iS/Oa66tbgYwJoWa4BvDWF2TZJ7z10gyeOTPHdO28xr/HnAw+d74CR3H4Lxd5O8Lsn/GqGevwcOBo7Z2AJJ7p9kJbAXcDRwBHA/4JDNPPbDgJ8DrgH+G/jWCPVoChnAWvSSPAzYB3g+8G3gXVV17TyLngfsnuSRSV6aZFfgn4Z5VwL/Nedx75nkLcCLgP2ApcBfAm/aXE1V9ZOqOh44cxOLXQ08lhaitwJfAw4A3rqJx/0ssPPwPO8FrKyqj22uHk2npb0LkDYlyb2ABwN/BLyaFpRPmGe5JwKXVdVfJtkNOK6qvp9k/bDIBuCm2fepqm8luRV4O/AV4Oqq+pskD0pydVX9eJ717AqspO0Qfgl4QJJ9gAcC1wJHVtX1Se4DnAA8BLgH8AlgPfBj4OYkzwBuqKoPzXn8nYA30HrA9wX+I8nbhvVdBZxQVbdtwZ9Qi5gBrEWtqq4D3jGE6n7AN4GHAhfPWfQy4NeT/BNwf+CnSY4FvpfkzcD/zH3sJL8A7AnsDuwCXJzkrsC7gVOAd81a9hjgqcPj3A/4PeBjwHeq6pZ56r4myduBFwy13Z224/j+UPtLgY/Mevxjh+d3/fAcdwZ2A24A1lXVR0f7i2maxGtBaLFL8iDgVcBLaOH0TuA24J+BT1bVN4bldgOeCPyA9lb/HbThhVfTgvBVVXXjsGyAV9CGJZ4D/DUtYL8KnFVVV22kln2AN1TVkZupeXfg8bTwfRgtbHcdpt8J/E5V3TTP/d4OfBR4NPC3wDLghVW1ZtN/JU0jx4C1aCXZM8mfAMcBv00L1iNpPciv0cL2d5L88nCXp9N6rT8FPgPcCOxWVdfQxmCXzHr4PYDvAd+lDT2sA26sqldsLHwHNzLah2KPAu4K/DGwnDa2fB3wQuCW+cJ38C7acMkutKGXx9N2HtoOGcBalJIsoQ0l/BUt8P4a+HXg67TgvbyqnlVVL6+qLw+93wOr6mbgcOBDtF7yl4eHvAuzXu9VdUNVvY52eNupQ/NP5tTwpHlK+z6QOcvtk2TucN7Nw7q/DLwf+GBVfXuo4/pNPPUPAb84rONi4G1V9Z+bWF5TzADWolRVt1bVx6vqB8AHaIdkvZfWk6Wqzpxzl2cAVyR5FvCeqtpQVd+rqlcO81cy5/We5Hjgkqr60tC0a5KHJ1k2BPrLktx3Tl23ADcmOTfJx5NcDpwP/M6c5c6tqgtovd5/H2p7Gu3DvmVJXj18oDfXLbQdx+7Dc9pl838tTSvHgDUVkvwjcBGtN7x+CLfZ85fRhhVuqKoN89z/o8CTq+q7w/SRtA/QPj1rmbsDf0o7vncpcAXw+0PPdWtqPoTWw15H68kfU1U3Dr3lU4F708alvzgsvydwT9qHbycAnwJWAPcBPlxVb96aOrR4GcCaCkmWzne0wRbcf++ZD+sWqySraIe2XUk7DvgmoGgfxO1UVVd3LE8LwACWpE4cA5akTgxgSerEAJakTrb7U5HXrFlT559/fu8yJO3Y5r0U6nbfA77hhht6lyBJ89ruA1iSFisDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqZPt/nKUksbjz495eu8SOOms9/QuYazsAUtSJwawJHViAEtSJ2MfA05yDHB8VR2R5G7AJ4H3ATsDn62qdyRZB3wBKOC0qropyYnAdcBeVfXG4bFGapOkaTT2HnBVnQX8cJg8GDi8ql7EEL5D+7qqOrmqXjGE7/5AqmodsFOSA0ZtG3f9kjQpC3oURFWdA5DkWcAFs2Y9IMmRwB5V9U7gMODSYd5lwGral9iN0nbZQj4HSVookxoDPrSqrp01fXJVnQssS/IEYAmwYZi3gbZjGLXtDpKsTXJJkkvWr18/3mciSWOy4AGcZCU/G5IgyWrg0GHyCmAf4CJg5dA2Mz1q2x1U1elVtaqqVi1fvnx8T0aSxmghPoQ7GjgwyVHDEMTutA/NZlwHHJ9kV1oQv7aqbkiyb5I1wLKqumh4rJHaJGkajT2Aq+ps4OxZ058FPjtr+krgpGHynFntZ8zzWCO1SdI08jhgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTpaO+wGTHAMcX1VHDNPrgC8ABZxWVTclORG4Dtirqt44LLfVbZI0jcbeA66qs4AfzmpaV1UnV9UrhvDdH0hVrQN2SnLAtrSNu35JmpSx94Dn8YAkRwJ7VNU7gcOAS4d5lwGrgWxD22UL/QQkaSFMYgz45Ko6F1iW5AnAEmDDMG8DbSewLW13kGRtkkuSXLJ+/foxPx1JGo8FDeAkq4FDh8krgH2Ai4CVQ9vM9La03UFVnV5Vq6pq1fLly8f2fCRpnBbiQ7ijgQOTHAVcDhyfZFdaEL+2qm5Ism+SNcCyqrpouN9Wt0nSNBp7AFfV2cDZs5pOGn6fM2uZM+a531a3SdI08jhgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTsb+tfTacfzaG36tdwl84sRP9C5B2mr2gCWpEwNYkjoxgCWpEwNYkjoxgCWpEwNYkjoxgCWpEwNYkjoxgCWpEwNYkjoxgCWpk7FfCyLJMcDxVXVEknsBzwEuBR4JnArsBvwJcDWwATgFCPAi4CrgLlV1ZpKdRmkbd/2SNClj7wFX1VnAD4fJY4Hrq+o84FPAU4f2t1XVyVX16qoq4Cjg8qp6L7BvkuVb0CZJU2mhhyBOBd429FxXA/8GFLB/kicmefKw3GHA54fbXwEO2YI2SZpKC3o5yqqqoZf6bOA1VXV9kgBvGua9Msl/AUtowxEMv5duQdsdJFkLrAVYsWLF+J+YJI3BgvaAk+wGPBN4/RC+dwGeAjxwWOSrwErgouE3wArg4i1ou4OqOr2qVlXVquXLHaWQtDgtxIdwRwMHJjkKeDCwC/DiJIcALweuBY5OcimwL/BnwC3Ac5PsDlxdVdckOXuUtnHXL0mTMvYArqqzgbOHyXM2sthn5pl/+pzHuWWUNkmaVh4HLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdGMCS1IkBLEmdjBTASXYbfq9I8pCFLUmSdgyj9oAPAqiqq4EnLlw5krTjWLqpmUnuDxwD7JdkDRDgfpMoTJK2d5sM4Kq6Msk5wNeAC4ECrp9EYZK0vdtkAA8+B3ynqr6x0MVI0o5ks2PAVXUb8P0k+yXZP8kLJ1CXJG33Rv0Q7h+Bpww/j124ciRpxzHKEATAP1TVmQBJdl+4ciRpxzFqAP/qELy3Ao8Ajt7YgkmOAY6vqiOG6ROB64C9quqNC9EmSdNo1CGI/wa+CHwe+PKmFqyqs4AfAiTZH0hVrQN2SnLAuNu24jlL0qIwag/4X2bdvmALHv8w4NLh9mXAatqxxONsu2wL6pGkRWPUAH4RcCUtAJfTjgkexRJgw3B7w6z1jbvtdpKsBdYCrFixYsRSJWmyRgrgqjpu5naS39+Cx78IWAl8GthnmGYB2ubWezpwOsCqVatqC+qVpIkZKYCTvI52FtxOwF7ARj/8SnI0cGCSo6rqnCT7DqcxL6uqi4ZlxtomSdNo1CGIc2hDEAV8a1MLVtXZwNmzps+YZ5mxtknSNBr1KIiPAkcMP76ll6QxGDWAXwJ8c/h56cKVI0k7jlGHID5fVecDJFmygPVI0g5j1AA+MMlPgduAXwHOXbiSJGnHMOoQxGnAfYC9h9uSpG20yQBOckKS/avq5qp6K/AR2mFokqRttLke8E+q6gszE1V1FcP3w0mSts3mAvjH87T9ZCEKkaQdzeYCeI8kRydZmmRJkqNopwBLkrbRJgO4qv6OdgGedwJnAXcHXj+BuiRpu7e5r6VfAXyKdvEbaGfBHcjPLgkpSdpKmzsO+Azahdj3Aq6l9YbvBhy7wHVJ0nZvcwH8pKr6UZI1s86Ee9wE6pKk7d4mA7iqfjTcXJXkNtqZcKuADy50YZK0vRv1TLjX0M6Euy+eCSdJYzHqN2LcDLwVIMkq4JKFLEqSdgSjfiPG7wFPpp2YsTvtyzAlSdtg1CGIq4E3V9VTgHcsYD2StMMYNYB/G7h3kr3xYjySNBajXg94LXALcAob+SZiSdKWGTWAbwUeTgvg7yxcOZK04xh1COIFwL2r6mrAEzEkaQxG7QFfTDsJA+CmBapFknYoowbwg4EkATgYOH/BKpKkHcTmvpJoxXBFtPcD36OdDfeBSRQmSdu7Lbka2nVD26PxamiStM28GpokdeLV0CSpky29GtreeDU0SRqLLb4amiRpPEbtAUuSxswAlqRODGBJ6sQAlqRORj0VeZskuRvwSeB9wM7AZ2nfsPEFoIDTquqmJCfSTvjYq6reONx3pDZJmjYTCWDa9SMOr6prkxxXVe9IcltVnTWzQJL9gVTVuiQvSHIALZw321ZVl03oeUjS2EwkgKvqHIAkzwIuGJofkORIYI+qeidwGHDpMO8y2vfOZcQ2A1jS1Jn0GPChVXXtcPvkqjoXWJbkCcASYMMwbwNt5zBq2+0kWZvkkiSXrF+/fmGeiSRto4kFcJKVwA+H26uBQ4dZVwD70L7qaOXQNjM9atvtVNXpVbWqqlYtX758/E9GksZgUmPA0L7OfuaKatcBxyfZlRbEr62qG5Lsm2QNsKyqLgIYtU2Sps3EAriqPks7+oGquhI4aZh1zqxlzpjnfiO1SdK08ThgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTgxgSerEAJakTpZOakVJ1gFfAAo4DXgecB2wV1W9cVjmxK1tk6RpM7EABtZV1VkASfYHUlXrkrwgyQG0YN6qtqq6bILPQ1Pkwket7l0Cqz96Ye8StEhNMoAfkORIYA9gd+DSof0yYDWQbWgzgCVNnUmOAZ9cVecCy4BdgQ1D+wbajmDJNrTdTpK1SS5Jcsn69esX4KlI0rabSAAnWQ0cOkxeAdwMrBym9wEuGn62tu12qur0qlpVVauWL18+3icjSWMyqSGI64Djk+xKC+LXAk9IsgZYVlUXASTZd2vbJGnaTCSAq+pK4KRh8pzh9xnzLLfVbZI0bTwOWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6MYAlqRMDWJI6Wdq7gEl72Ivf0bsEPnvacb1LkLQI2AOWpE4MYEnqxACWpE4MYEnqxACWpE4MYEnqZCKHoSW5F/Ac4FLgkcA/Av8buBrYAJwCBHgRcBVwl6o6M8lOo7RN4jlI0rhN6jjgY4Hrq+q8JDsDDwXeVlUfn1kgyROAy6vqfUlOSbIcOGSUtqpaP6HnIUljM6khiFOBtw2919XABcD+SZ6Y5MnDMocBnx9uf4UWtKO2SdLUmUgPuKpq6L0+G3gN8G3gTUP7K5P8F7CENhzB8HvpFrTdTpK1wFqAFStWLMhzkqRtNZEecJLdgGcCr6+q64HjgAcOs78KrAQuGn4DrAAu3oK226mq06tqVVWtWr58+fifkCSNwaTGgNcCuwAvTnII8FfA0UkuBfYF/gy4BXhukt2Bq6vqmiRnj9I2oecgSWM1qSGIU+dpvnD4fc6sttPn3O+WUdokaRp5HLAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InBrAkdWIAS1InS3sXIEnj8pU/v6B3CTzopMNHXtYesCR1YgBLUicGsCR1YgBLUicGsCR1MrVHQSQ5EbgO2Kuq3ti7HknaUlPZA06yP5CqWgfslOSA3jVJ0paaygAGDgM+P9y+DFjdsRZJ2iqpqt41bLEkLwQ+UVWfTnIwcGhVvXbW/LXA2mHygcAVYy7hbsANY37McZuGGmE66rTG8ZmGOheixhuqas3cxmkN4EOAvavq3UmeDXytqi6a4PovqapVk1rf1piGGmE66rTG8ZmGOidZ41QOQQxhu0uSNcCySYavJI3L1B4FUVVn9K5BkrbFVPaAF4HTexcwgmmoEaajTmscn2moc2I1TuUYsCRtD+wBb0aaPZMsndO+3zzLHj4cgSHt8JLslOTQJM+cZ96i2H6SPCRJtxyc2jHghZTkl4CXAT8GfhX4APAvwBdmLXZQkt2BewKfAB4KXAQcMdlqmyS7VNX/9Fj3lkqypKpuHW4/rare26GGBwNfr6ofb2T+YqjxTlV186TXuy2SPB/YACwHrgJ2Ab4yz6Jdt58ky6rqJ8DhwKHMGXZIsl9VfXFO2+HA/atqbEMU9oDnUVVfBc4EzgP+nvbPuXxm/nD0xdur6kLgEcB/A/sDNwHfn2Stw3HQAEcnOWWS696UJE9LsvNGZh+W5DeTPBX4uY3cf6F7SI8BHruJ+YuhxnOT3Gsj6z4kyT2S7JtkjyR3TvKxJL844Rrn2ou27XyZ1mF5BLB3kvcledqw/sWw/fx6kpfQtut7J3n50PGacVCS1UmemeQ+SZ4E/Aew9ziLMIDnSJLh5veAnwK3ArcB/5bk/sO8HwArkjya9oJ5IrCMdvLHxAbVh1pfOoTEA4FfGW7PXuaA4boZJPmLJA9d4JrWDHU9m9a7mc9PgPsB+wJLNrLMgm0ASY4GngAcleQPFmONg+uA72xk3jW0ncj1wK8BjwOOr6ofTLjGuW4BHgY8ivZ3eyetZ/vKWe8ium0/Se6e5CTgYOBbtG38SuA1Q8drojsIA/iO7pzk3cDdaS+mJcBzgbVVdSVAVX2S9rfbi7ahfgL4LvAWNr6xLoQjaTuIbwL/RnvRrJuzzOG0DQ7gq8AtSe60gDUdB9wD+FZVXZ3kPvMssx5YAewGfGruzAlsAP8MfLyqTgD+LsmDk9xlkdUIbcd/YJIXDT8Z1v1I4B5V9fe0HcTBw7of0aHGuZbQLg9wEC1ovwP8blVdPLNAz+2nqr4NnEHbFm5i+BsDL0lyj2Gxie0gDOA5hnGhF9L+MbcBOwOvq6r/nFkmyZ60f9qltNOcl9PGvcIE/6ZV9QHgk8AvAfcGfjh7fpJdaONbHxuGJ24BHgl8anhxjVWSmZ3WjcCPk6wC1iV54KxlltA2um/QenGHzRN+C7IBDG/V7w78BrA6yeeBfwfeRuupda9xWP/zkvwRLSx/EbgAOLt+dsjSp4A9kjxwOAlpA+11eumkatyE22jXZnkacC/a6/J2p/X23H6GndihwLeH2gD+tapexfBuY5I7CAN4HlX1TVqIzATw7kkenmTmH/Zi2vjWk4H30Ma7/on2QppkDxjai/YYYB/mBDDwfOD6qrqF9iHHbwDvB75aVR8ZaxFtaOMZwE3Dh4F3BfYAHl5Vs6/FsTPwANqHm+cCHwUem+S+Mwss4AZwNHAs7f/6B8CHaRvjb9GCdjHUSFW9FXjTUNMeVfW5qvrGrPk/pQXY15P8Ku0dxwXAdUn2nUSNm3Af2k7jOcCetNfc5UmeO2uZntvP3rShsacBXwLuDDw1yanA78NkdxAeBTHH0PM4lPaHXkZ74R5I++PfmfaiOZO2B33d0Cu5Ffh2koNoG/ckLamqxyV5BvCgtE/3dwbeRTt643FJngz8J+1T6YNoY3Ik2aOqNjbGuEWq6nPA55K8bGj6flV9cFjPfarqmiS/ATyENr5+T+AE2tvVW2gh8vVh+dkbwE8Z3wZwNfAj2uv+5cAHaRde+QWG3s8iqHHG84HXAfdPcmRVnTszI8njgbsAj6aN/d+VdoXAhwK3JllfVd+ZQI3zuQK4pKrWJTkKeP0wFHXaMLR3In23nwfT3kHsCnya9lnAv1TVh2ct82LgzcDTgVNof6vrWYAdhAF8R38F/HVV3bSxBeYenjLLJcDXFqSqWdKOLngx7YVbSZ5H21l8Dfgf4GbgB1V1fZLfqqo3JHkI7e32l4bH2A14JvA3Y6opwMNpn3jfb2jKsIH9UZI/rKrzgPOGXtu5wLXArVV19pyHW6gN4Odpb71nPljdiRZQ96J94MUiqJEkjwFuG8ZuL0zyniT7AG8ZDkv7eeDdVfUl4INJXgCcU1VzX3sTC5IZVXXarNvnzLr94lmLrd/I3Rd8+6mqDyRZSds+fphkb9rOYLYzmdQOoqr8meIf4FTa2N7etLdze82Z/w/D7xNovaqjaGOA5wEvGWMdb6L1bnYeplfRDt97F+1DwHsAd6K99fs/wNJhub+g7RieOqttP1qvbtmcdRwE/N9tqPEw4PDh9trh9wrgM8C9h+neNe4HPGpO267Av9LGqu85z31eMFP/PI819hqn/QfYbdbt/WkfaI5yv9CGhMZWi6ciT7EkTwT2qarXDdMHA2uq6uRZyzy1hiMj0r5JZF/a2/AvVtU1d3zUyUs7wP3HwKW1iRMPhl727jWGYZMkP18bOQljsdS4BbWdQPuQ7sYRl594jZqfATzFkqyoqqt716G+kvxcbWLITIuXASxJnXgYmiR1YgBLUicGsLZ7uf1FVkiyNMlV2fjFgrZpHUlemeT/Dbf/eDhMULoDA1jbrSRLhmM3j5ndXu3MwNXVzihbiHV8CLhxOHLiw8O0dAeeiKFFbzhs6iTaGWnPp506fCLweeBXaMdCv4x26utnhvnPpB0D+8vA/sOFaS6udobYMbRTkh83PP6fznPfHw3r+BLtuNk30I633ew6hrL/Yqjr5GEdDxpqfA/tONS3J5m5zvRq2okgHxke+zjaGWUHAadU1YZx/B21+NgD1jR4DHBjVb0f+G3gN2mnu55DO3vqWNrp1VdV+7LWT9BOTPgacCHwjao6f+a416o6i3bG4Iw73Hd4zJ1oZ85dR7suxMjroJ1xdgnw+GH6RtoOI7RrUgD8tKr+lnYq9Hm004r/kHa9httop0M/ZBv/dlrE7AFrGuxEu5YBVbV+uCrjzCmhM8dR3ky7XsOMzJlPkr1r1kVtZpnvvgG+UFXnz9wXWDnKOmbNfw3tLMC30K7rsLaqbkxy/Caea4BPV9XlSS6gXatC2yl7wJoG/w7smeSpw0WHPgo8fLgozUG0S0keDjwyyR606+M+Zrjv9cA+SV5OGy4gyVNo19md6Z3Od993AIcmOTLJ02m90lHXcQRwWFV9l3YtBmjDJ8enfRPFHsNVy1YMQxN7zvp5LfCs4aJATxoeW9spT8SQpE7sAUtSJwawJHViAEtSJwawJHViAEtSJwawJHViAEtSJwawJHXy/wE2mLprtTJ1NgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"continentName\", y=\"deadCount\", kind=\"bar\", data=df3).set(title = '各洲死亡数量')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6db8d7a690>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3.plot(x=\"continentName\", kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>locationId</th>\n",
       "      <th>continentName</th>\n",
       "      <th>continentEnglishName</th>\n",
       "      <th>countryName</th>\n",
       "      <th>countryEnglishName</th>\n",
       "      <th>countryFullName</th>\n",
       "      <th>provinceName</th>\n",
       "      <th>provinceEnglishName</th>\n",
       "      <th>provinceShortName</th>\n",
       "      <th>currentConfirmedCount</th>\n",
       "      <th>confirmedCount</th>\n",
       "      <th>suspectedCount</th>\n",
       "      <th>curedCount</th>\n",
       "      <th>deadCount</th>\n",
       "      <th>comment</th>\n",
       "      <th>cities</th>\n",
       "      <th>updateTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>955009</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>以色列</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Israel</td>\n",
       "      <td>以色列</td>\n",
       "      <td>Israel</td>\n",
       "      <td>以色列</td>\n",
       "      <td>2654</td>\n",
       "      <td>18089</td>\n",
       "      <td>0</td>\n",
       "      <td>15137</td>\n",
       "      <td>298</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>952009</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>新加坡</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>新加坡</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>新加坡</td>\n",
       "      <td>13930</td>\n",
       "      <td>38514</td>\n",
       "      <td>0</td>\n",
       "      <td>24559</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>973002</td>\n",
       "      <td>南美洲</td>\n",
       "      <td>South America</td>\n",
       "      <td>玻利维亚</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>Bolivia (Plurinational State of)</td>\n",
       "      <td>玻利维亚</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>玻利维亚</td>\n",
       "      <td>12745</td>\n",
       "      <td>13358</td>\n",
       "      <td>0</td>\n",
       "      <td>159</td>\n",
       "      <td>454</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>983001</td>\n",
       "      <td>非洲</td>\n",
       "      <td>Africa</td>\n",
       "      <td>喀麦隆</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>喀麦隆</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>喀麦隆</td>\n",
       "      <td>5649</td>\n",
       "      <td>7860</td>\n",
       "      <td>0</td>\n",
       "      <td>1996</td>\n",
       "      <td>215</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>955002</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>亚美尼亚</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>亚美尼亚</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>亚美尼亚</td>\n",
       "      <td>9007</td>\n",
       "      <td>13675</td>\n",
       "      <td>0</td>\n",
       "      <td>4451</td>\n",
       "      <td>217</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>650000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>新疆维吾尔自治区</td>\n",
       "      <td>Xinjiang</td>\n",
       "      <td>新疆</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '乌鲁木齐', 'currentConfirmedCount':...</td>\n",
       "      <td>2020-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>0</td>\n",
       "      <td>欧洲</td>\n",
       "      <td>Europe</td>\n",
       "      <td>大不列颠及北爱尔兰联合王国</td>\n",
       "      <td>United Kingdom of Great Britain and Ireland</td>\n",
       "      <td>None</td>\n",
       "      <td>大不列颠及北爱尔兰联合王国</td>\n",
       "      <td>United Kingdom of Great Britain and Ireland</td>\n",
       "      <td>大不列颠及北爱尔兰联合王国</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>0</td>\n",
       "      <td>欧洲</td>\n",
       "      <td>Europe</td>\n",
       "      <td>英国（含北爱尔兰）</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>None</td>\n",
       "      <td>英国（含北爱尔兰）</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>英国（含北爱尔兰）</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>0</td>\n",
       "      <td>欧洲</td>\n",
       "      <td>Europe</td>\n",
       "      <td>北爱尔兰</td>\n",
       "      <td>Northern Ireland</td>\n",
       "      <td>None</td>\n",
       "      <td>北爱尔兰</td>\n",
       "      <td>Northern Ireland</td>\n",
       "      <td>北爱尔兰</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>2020-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>540000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>西藏自治区</td>\n",
       "      <td>Xizang</td>\n",
       "      <td>西藏</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '拉萨', 'currentConfirmedCount': 0...</td>\n",
       "      <td>2020-02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     locationId continentName continentEnglishName    countryName  \\\n",
       "0        955009            亚洲                 Asia            以色列   \n",
       "1        952009            亚洲                 Asia            新加坡   \n",
       "2        973002           南美洲        South America           玻利维亚   \n",
       "3        983001            非洲               Africa            喀麦隆   \n",
       "4        955002            亚洲                 Asia           亚美尼亚   \n",
       "..          ...           ...                  ...            ...   \n",
       "251      650000            亚洲                 Asia             中国   \n",
       "252           0            欧洲               Europe  大不列颠及北爱尔兰联合王国   \n",
       "253           0            欧洲               Europe      英国（含北爱尔兰）   \n",
       "254           0            欧洲               Europe           北爱尔兰   \n",
       "256      540000            亚洲                 Asia             中国   \n",
       "\n",
       "                              countryEnglishName  \\\n",
       "0                                         Israel   \n",
       "1                                      Singapore   \n",
       "2                                        Bolivia   \n",
       "3                                       Cameroon   \n",
       "4                                        Armenia   \n",
       "..                                           ...   \n",
       "251                                        China   \n",
       "252  United Kingdom of Great Britain and Ireland   \n",
       "253                               United Kingdom   \n",
       "254                             Northern Ireland   \n",
       "256                                        China   \n",
       "\n",
       "                      countryFullName   provinceName  \\\n",
       "0                              Israel            以色列   \n",
       "1                           Singapore            新加坡   \n",
       "2    Bolivia (Plurinational State of)           玻利维亚   \n",
       "3                            Cameroon            喀麦隆   \n",
       "4                             Armenia           亚美尼亚   \n",
       "..                                ...            ...   \n",
       "251                              None       新疆维吾尔自治区   \n",
       "252                              None  大不列颠及北爱尔兰联合王国   \n",
       "253                              None      英国（含北爱尔兰）   \n",
       "254                              None           北爱尔兰   \n",
       "256                              None          西藏自治区   \n",
       "\n",
       "                             provinceEnglishName provinceShortName  \\\n",
       "0                                         Israel               以色列   \n",
       "1                                      Singapore               新加坡   \n",
       "2                                        Bolivia              玻利维亚   \n",
       "3                                       Cameroon               喀麦隆   \n",
       "4                                        Armenia              亚美尼亚   \n",
       "..                                           ...               ...   \n",
       "251                                     Xinjiang                新疆   \n",
       "252  United Kingdom of Great Britain and Ireland     大不列颠及北爱尔兰联合王国   \n",
       "253                               United Kingdom         英国（含北爱尔兰）   \n",
       "254                             Northern Ireland              北爱尔兰   \n",
       "256                                       Xizang                西藏   \n",
       "\n",
       "     currentConfirmedCount  confirmedCount  suspectedCount  curedCount  \\\n",
       "0                     2654           18089               0       15137   \n",
       "1                    13930           38514               0       24559   \n",
       "2                    12745           13358               0         159   \n",
       "3                     5649            7860               0        1996   \n",
       "4                     9007           13675               0        4451   \n",
       "..                     ...             ...             ...         ...   \n",
       "251                      0              76               0          73   \n",
       "252                     12              20               0           8   \n",
       "253                     12              20               0           8   \n",
       "254                      1               1               0           0   \n",
       "256                      0               1               0           1   \n",
       "\n",
       "     deadCount comment                                             cities  \\\n",
       "0          298                                                       None   \n",
       "1           25                                                       None   \n",
       "2          454                                                       None   \n",
       "3          215                                                       None   \n",
       "4          217                                                       None   \n",
       "..         ...     ...                                                ...   \n",
       "251          3          [{'cityName': '乌鲁木齐', 'currentConfirmedCount':...   \n",
       "252          0                                                       None   \n",
       "253          0                                                       None   \n",
       "254          0                                                       None   \n",
       "256          0          [{'cityName': '拉萨', 'currentConfirmedCount': 0...   \n",
       "\n",
       "    updateTime  \n",
       "0      2020-06  \n",
       "1      2020-06  \n",
       "2      2020-06  \n",
       "3      2020-06  \n",
       "4      2020-06  \n",
       "..         ...  \n",
       "251    2020-03  \n",
       "252    2020-02  \n",
       "253    2020-02  \n",
       "254    2020-02  \n",
       "256    2020-02  \n",
       "\n",
       "[227 rows x 17 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_country = df1.loc[df1['countryName'] == df1['provinceShortName']].reset_index()\n",
    "df_country = df_country.drop_duplicates(subset=['updateTime', 'countryName'], keep='last')\n",
    "df_country = pd.DataFrame(df_country, columns=['countryName', 'confirmedCount', 'updateTime'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_country = df_country.sort_values(by=\"confirmedCount\", ascending=False)\n",
    "df_top10_country = df_country.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f6db8cbf410>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"countryName\", y=\"confirmedCount\", kind=\"bar\", data=df_top10_country).set(title = 'Top 10国家确诊数量')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>level_0</th>\n",
       "      <th>index</th>\n",
       "      <th>locationId</th>\n",
       "      <th>continentName</th>\n",
       "      <th>continentEnglishName</th>\n",
       "      <th>countryName</th>\n",
       "      <th>countryEnglishName</th>\n",
       "      <th>countryFullName</th>\n",
       "      <th>provinceName</th>\n",
       "      <th>provinceEnglishName</th>\n",
       "      <th>provinceShortName</th>\n",
       "      <th>currentConfirmedCount</th>\n",
       "      <th>confirmedCount</th>\n",
       "      <th>suspectedCount</th>\n",
       "      <th>curedCount</th>\n",
       "      <th>deadCount</th>\n",
       "      <th>comment</th>\n",
       "      <th>cities</th>\n",
       "      <th>updateTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14</td>\n",
       "      <td>205</td>\n",
       "      <td>420000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>湖北省</td>\n",
       "      <td>Hubei</td>\n",
       "      <td>湖北</td>\n",
       "      <td>0</td>\n",
       "      <td>68135</td>\n",
       "      <td>0</td>\n",
       "      <td>63623</td>\n",
       "      <td>4512</td>\n",
       "      <td>4.17武汉市订正数据，武汉死亡核增1290，确诊核增325，治愈核减965</td>\n",
       "      <td>[{'cityName': '武汉', 'currentConfirmedCount': 0...</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>164</td>\n",
       "      <td>440000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>广东省</td>\n",
       "      <td>Guangdong</td>\n",
       "      <td>广东</td>\n",
       "      <td>10</td>\n",
       "      <td>1604</td>\n",
       "      <td>11</td>\n",
       "      <td>1586</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '广州', 'currentConfirmedCount': 1...</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>29</td>\n",
       "      <td>244</td>\n",
       "      <td>410000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>河南省</td>\n",
       "      <td>Henan</td>\n",
       "      <td>河南</td>\n",
       "      <td>0</td>\n",
       "      <td>1276</td>\n",
       "      <td>0</td>\n",
       "      <td>1254</td>\n",
       "      <td>22</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '信阳', 'currentConfirmedCount': 0...</td>\n",
       "      <td>2020-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23</td>\n",
       "      <td>227</td>\n",
       "      <td>330000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>浙江省</td>\n",
       "      <td>Zhejiang</td>\n",
       "      <td>浙江</td>\n",
       "      <td>0</td>\n",
       "      <td>1268</td>\n",
       "      <td>3</td>\n",
       "      <td>1267</td>\n",
       "      <td>1</td>\n",
       "      <td>2月10日通报核减的12例在浙江省治愈的外省病例，根据国家最新要求重新纳入累计病例。</td>\n",
       "      <td>[{'cityName': '温州', 'currentConfirmedCount': 0...</td>\n",
       "      <td>2020-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>192</td>\n",
       "      <td>810000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>香港</td>\n",
       "      <td>Hong Kong</td>\n",
       "      <td>香港</td>\n",
       "      <td>54</td>\n",
       "      <td>1107</td>\n",
       "      <td>63</td>\n",
       "      <td>1049</td>\n",
       "      <td>4</td>\n",
       "      <td>疑似1例</td>\n",
       "      <td>[]</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>27</td>\n",
       "      <td>242</td>\n",
       "      <td>430000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>湖南省</td>\n",
       "      <td>Hunan</td>\n",
       "      <td>湖南</td>\n",
       "      <td>0</td>\n",
       "      <td>1019</td>\n",
       "      <td>0</td>\n",
       "      <td>1015</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '长沙', 'currentConfirmedCount': 0...</td>\n",
       "      <td>2020-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>24</td>\n",
       "      <td>239</td>\n",
       "      <td>340000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>安徽省</td>\n",
       "      <td>Anhui</td>\n",
       "      <td>安徽</td>\n",
       "      <td>0</td>\n",
       "      <td>991</td>\n",
       "      <td>0</td>\n",
       "      <td>985</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '合肥', 'currentConfirmedCount': 0...</td>\n",
       "      <td>2020-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16</td>\n",
       "      <td>212</td>\n",
       "      <td>230000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>黑龙江省</td>\n",
       "      <td>Heilongjiang</td>\n",
       "      <td>黑龙江</td>\n",
       "      <td>0</td>\n",
       "      <td>947</td>\n",
       "      <td>394</td>\n",
       "      <td>934</td>\n",
       "      <td>13</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '境外输入', 'currentConfirmedCount':...</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>15</td>\n",
       "      <td>211</td>\n",
       "      <td>360000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>江西省</td>\n",
       "      <td>Jiangxi</td>\n",
       "      <td>江西</td>\n",
       "      <td>0</td>\n",
       "      <td>932</td>\n",
       "      <td>0</td>\n",
       "      <td>931</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '南昌', 'currentConfirmedCount': 0...</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7</td>\n",
       "      <td>193</td>\n",
       "      <td>370000</td>\n",
       "      <td>亚洲</td>\n",
       "      <td>Asia</td>\n",
       "      <td>中国</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>山东省</td>\n",
       "      <td>Shandong</td>\n",
       "      <td>山东</td>\n",
       "      <td>4</td>\n",
       "      <td>792</td>\n",
       "      <td>14</td>\n",
       "      <td>781</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td>[{'cityName': '境外输入', 'currentConfirmedCount':...</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   level_0  index  locationId continentName continentEnglishName countryName  \\\n",
       "0       14    205      420000            亚洲                 Asia          中国   \n",
       "1        4    164      440000            亚洲                 Asia          中国   \n",
       "2       29    244      410000            亚洲                 Asia          中国   \n",
       "3       23    227      330000            亚洲                 Asia          中国   \n",
       "4        6    192      810000            亚洲                 Asia          中国   \n",
       "5       27    242      430000            亚洲                 Asia          中国   \n",
       "6       24    239      340000            亚洲                 Asia          中国   \n",
       "7       16    212      230000            亚洲                 Asia          中国   \n",
       "8       15    211      360000            亚洲                 Asia          中国   \n",
       "9        7    193      370000            亚洲                 Asia          中国   \n",
       "\n",
       "  countryEnglishName countryFullName provinceName provinceEnglishName  \\\n",
       "0              China            None          湖北省               Hubei   \n",
       "1              China            None          广东省           Guangdong   \n",
       "2              China            None          河南省               Henan   \n",
       "3              China            None          浙江省            Zhejiang   \n",
       "4              China            None           香港           Hong Kong   \n",
       "5              China            None          湖南省               Hunan   \n",
       "6              China            None          安徽省               Anhui   \n",
       "7              China            None         黑龙江省        Heilongjiang   \n",
       "8              China            None          江西省             Jiangxi   \n",
       "9              China            None          山东省            Shandong   \n",
       "\n",
       "  provinceShortName  currentConfirmedCount  confirmedCount  suspectedCount  \\\n",
       "0                湖北                      0           68135               0   \n",
       "1                广东                     10            1604              11   \n",
       "2                河南                      0            1276               0   \n",
       "3                浙江                      0            1268               3   \n",
       "4                香港                     54            1107              63   \n",
       "5                湖南                      0            1019               0   \n",
       "6                安徽                      0             991               0   \n",
       "7               黑龙江                      0             947             394   \n",
       "8                江西                      0             932               0   \n",
       "9                山东                      4             792              14   \n",
       "\n",
       "   curedCount  deadCount                                     comment  \\\n",
       "0       63623       4512      4.17武汉市订正数据，武汉死亡核增1290，确诊核增325，治愈核减965   \n",
       "1        1586          8                                               \n",
       "2        1254         22                                               \n",
       "3        1267          1  2月10日通报核减的12例在浙江省治愈的外省病例，根据国家最新要求重新纳入累计病例。   \n",
       "4        1049          4                                        疑似1例   \n",
       "5        1015          4                                               \n",
       "6         985          6                                               \n",
       "7         934         13                                               \n",
       "8         931          1                                               \n",
       "9         781          7                                               \n",
       "\n",
       "                                              cities updateTime  \n",
       "0  [{'cityName': '武汉', 'currentConfirmedCount': 0...    2020-06  \n",
       "1  [{'cityName': '广州', 'currentConfirmedCount': 1...    2020-06  \n",
       "2  [{'cityName': '信阳', 'currentConfirmedCount': 0...    2020-04  \n",
       "3  [{'cityName': '温州', 'currentConfirmedCount': 0...    2020-05  \n",
       "4                                                 []    2020-06  \n",
       "5  [{'cityName': '长沙', 'currentConfirmedCount': 0...    2020-04  \n",
       "6  [{'cityName': '合肥', 'currentConfirmedCount': 0...    2020-04  \n",
       "7  [{'cityName': '境外输入', 'currentConfirmedCount':...    2020-06  \n",
       "8  [{'cityName': '南昌', 'currentConfirmedCount': 0...    2020-06  \n",
       "9  [{'cityName': '境外输入', 'currentConfirmedCount':...    2020-06  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cn = df.loc[df['countryName'] == '中国'].reset_index()\n",
    "df_cn = df_cn.drop(labels=1)\n",
    "df_cn_top10 = df_cn.sort_values('confirmedCount', ascending=False).head(10).reset_index()\n",
    "df_cn_top10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f6db8c87f50>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"provinceShortName\", y=\"confirmedCount\", kind=\"bar\", data=df_cn_top10).set(title = '中国 Top 10确诊数量')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
